| |
| |
| ``mx.symbol.BlockGrad`` |
| ============================================== |
| |
| Description |
| ---------------------- |
| |
| Stops gradient computation. |
| |
| Stops the accumulated gradient of the inputs from flowing through this operator |
| in the backward direction. In other words, this operator prevents the contribution |
| of its inputs to be taken into account for computing gradients. |
| |
| |
| **Example**:: |
| |
| |
| v1 = [1, 2] |
| v2 = [0, 1] |
| a = Variable('a') |
| b = Variable('b') |
| b_stop_grad = stop_gradient(3 * b) |
| loss = MakeLoss(b_stop_grad + a) |
| |
| executor = loss.simple_bind(ctx=cpu(), a=(1,2), b=(1,2)) |
| executor.forward(is_train=True, a=v1, b=v2) |
| executor.outputs |
| [ 1. 5.] |
| |
| executor.backward() |
| executor.grad_arrays |
| [ 0. 0.] |
| [ 1. 1.] |
| |
| |
| |
| |
| Usage |
| ---------- |
| |
| .. code:: r |
| |
| mx.symbol.BlockGrad(...) |
| |
| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``data`` | NDArray-or-Symbol. | |
| | | | |
| | | The input array. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``name`` | string, optional. | |
| | | | |
| | | Name of the resulting symbol. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
| |
| ``out`` The result mx.symbol |
| |
| |
| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/elemwise_unary_op_basic.cc#L327 |
| |
